Results 131 to 140 of about 427,842 (217)

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

Methods to estimate marine functional connectivity: A primer. [PDF]

Ecol Appl
Sturrock AM, Tanner SE, Arnaud-Haond S, Aguzzi J, Barboza FR, Beger M, Blanco A, Brophy D, Carreton M, Childs AR, Costantini F, Gaggiotti OE, Gillanders BM, González-Irusta JM, Guizien K, Guy-Haim T, Haase S, Hunter E, Kotta J, Lacroix G, Öztürk RÇ, Pérez-Ruzafa A, Reis-Santos P, Riginos C, Rilov G, Rinkevich B, Rotllant G, Secor DH, Smoliński S, Trueman CN, Walther BD, Darnaude AM.   +31 more
europepmc   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

A Discriminative Enhancement and Selective Fusion Method for Low-Light Cross-Spectral Object Detection. [PDF]

Sensors (Basel)
Yang P, Jiang J, Zhang Y.
europepmc   +1 more source

Targeting transcription factors associated with hemoglobinopathies: Lessons from successful interventions and implications for cancer

Molecular Oncology, EarlyView.
This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu, Puspa Das, Xing Zhang, Xiaodong Cheng   +3 more
wiley   +1 more source

AIPsychoBench: Understanding the Psychometric Differences Between LLMs and Humans. [PDF]

Top Cogn Sci
Xie W, Wang Z, Ma S, Sun X, Chen K, Wang E, Liu W, Tong H.   +7 more
europepmc   +1 more source

Interferon beta drives therapy resistance in a patient‐derived model of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Interferon type 1 (IFN‐1) production and signaling is associated with the acquisition of therapy resistance, following chronic DNA damage, via Interferon‐related DNA damage resistance signature (IRDS) gene expression. An alternative, DNA damage‐independent role of sustained IFN‐1 mediated resistance was identified and characterized by the emergence of ...
Ashlyn Conant, Tise Suzuki, Kiera McGivney, V. S. S. Abhinav Ayyadevara, Sharon Asariah, Jay Deng, Ethan Nyein, Jacqueline Coats, Gary Yu, Yevgeniya J. Ioffe, Christian Hurtz, Juli J. Unternaehrer   +11 more
wiley   +1 more source

Partial Multi-Label Feature Selection via Entropy-Weighted Multi-Scale Neighborhood Granular Label Distribution Learning. [PDF]

Entropy (Basel)
Cao Y, Li M, Wang C, Fan S, Yin Z, Guo B.   +5 more
europepmc   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Random Functions as Data Compressors for Machine Learning of Molecular Processes. [PDF]

J Chem Theory Comput
Debnath J, Hummer G.
europepmc   +1 more source